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Field
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optimization; bioprospecting for novel microbial hosts, enzymes, and metabolites to support sustainable biomanufacturing. (Bio)pharmaceuticals: Processing science and technology for bio- and chemical
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investigate, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and
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of Missouri campus. Research at this facility involves optimizing agricultural production systems for improved sustainability by developing tools for assessment of soil health, among other objectives. Research
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Responsibilities: Operate and optimize PVD and CVD plasma-based processes for advanced thin film deposition. Perform oxide and nitride composite thin film deposition, followed by in-depth materials characterization
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candidate will work on modelling, analysis, and optimization of circular agri-food supply chains in the UK with a broader emphasis on identifying data-driven and practical solutions to minimize food waste and
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and synthesis of novel materials. Key Responsibilities: Develop and apply generative AI models for materials discovery, leveraging deep learning, Bayesian optimization, and active learning. Integrate
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Large Language Models Natural Language Processing (NLP) Deep Reinforcement Learning Theoretical Foundations of Deep Learning and AI Optimization Techniques in Machine Learning Collaboration and Mentorship
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the prototyping of sensor devices and contribute to the optimization of fabrication processes. Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers. Assist or produce high
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are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data
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of fertilizers into the soil. The project aims to develop and optimize innovative porous carriers to enhance fertilizer efficiency, controlled release, and sustainability in agricultural applications